Diachronic analysis
Analysis that tracks change across time — vocabulary, concepts, named-entity mentions, sentence structure.
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Analysis that tracks how something changes across time — vocabulary, concepts, named-entity mentions, sentence structure. The corpus is sliced into time buckets (decades, reigns, editions) and the same measurement is applied to each slice.
Why it matters for your research. The interesting humanities questions are often diachronic: when did “liberty” come to carry its modern meaning, when does a public figure enter or exit attention, when does a genre consolidate. Diachronic analysis depends on dating the sources correctly, which is itself a research question — and the dataset’s dates are owner-asserted, not inferred.
In Archēglyph. On the 90-day roadmap as the temporal analysis plugin, covering word- and entity-frequency-over-time. Depends on the owner trusting the corpus’s dates.
Not to be confused with. Synchronic analysis looks at a single time slice — every analysis in Archēglyph today is synchronic.